Ayush Sharma is an experienced Data Engineer with expertise in building real-time data pipelines and scalable data architectures. He has hands-on experience with technologies like Kafka, AWS services (Kubernetes, EC2, S3), and various NoSQL databases (Cassandra, MongoDB). His background includes developing data analytics solutions, machine learning models, and complex database schemas for product-oriented applications.
Experience
Data Engineer - Product
KAMPD
Designed In App Messaging, Notification System using Cassandra/MongoDb/Triggers/Queries. Built Real-time Event streaming Platform using Kafka, kafka-Connect, KsqlDB, and Archiving. Handled Data Analytics, including designing dashboards and generating insights. Developed Text Based Search for the app using Real-time Kafka, MongoDB, and NodeJS.
Associate Data Engineer - Product
KAMPD
Worked in a product-oriented team. Created database and schema for the complete application (OLTP, OLAP). Built data pipelines and models using tools like AWS, MongoDB, and Tensorflow.
Data Analyst
FUTURES FIRST
Worked in the Fixed Income Derivatives Space. Conducted research on Iron ore Futures Contracts. Performed Technical and Fundamental Analysis on historical data and developed strategies to optimize trades using Microsoft Excel and Data Analysis/Visualization.
Education
JAYPEE UNIVERSITY
Bachelors of Technology
Electronics and Communications
ASSISI CONVENT SCHOOL
Licenses & Certifications
Deep Learning
National Research University- HSE
Inferential Statistics
Duke
Complete Python
Udemy
Machine Learning
Andrew NG
Kafka-Advanced